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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - **Company:** Wal-Mart Stores, Inc. - **Location:** Bellevue, WA, United States - **Experience:** Expert - **Salary:** $143,104.0 - $216,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), Agile Methodology, Apache HTTP Server, JIRA, Build Automation, Unit Testing, Microsoft Azure, Cloud Storage, Code Coverage, Continuous Integration, Data Retrieval, Data Structures, Database Queries, Database Theory, Software Debugging, Distributed Systems, Monitoring of Systems, Hibernate (Java), Spring Framework, Multimedia Messaging Services, NoSQL, Scrum Methodology, Queueing Systems, Prometheus, Software Engineering, Software Requirements Analysis, Software Systems, SQL Stored Procedures, SQL Databases, Data Streaming, Systems Architecture, Cloud Platform System, Test-Driven Development (TDD), Grafana, Backend, Kubernetes, Information Technology, Apache Kafka, Cosmos DB, Data Management, Front End Software Development, Restful APIs, Jenkins, Web Api, Microservices - **Published:** October 30, 2026 - **Apply:** https://www.careerjet.com/job/usa6527142b327b44a895e8e060ef9d803/eaa ## About the Role Minimum education and experience required: Master's degree or equivalent in Computer Science, Engineering (any), or a related field and 1 year of experience in software engineering or related area OR Bachelor's degree or equivalent in Computer Science, Engineering (any), or a related field and 3 years of experience in software engineering or related area. Skills Required: Experience with Java, Spring, Hibernate, and Apache frameworks. Experience designing and architecting large scale distributed systems with a focus on scalability, availability, and performance. Experience with database concepts and with SQL and NoSQL databases for efficient data management and retrieval. Experience with data structures and algorithms. Experience administering Kafka clusters and managing Kafka topics and partitions. Experience with software development lifecycle including requirements gathering, design, coding, testing, and deployment. Experience with cloud platform Microsoft Azure for designing and deploying scalable applications. Experience designing and implementing API's. Experience with RESTful architecture and API integration and development. Experience identifying, troubleshooting, and resolving complex software issues. Experience working in Agile development environment using JIRA. Experience with unit testing frameworks, test driven development, and writing clean, maintainable code. Experience creating and maintaining technical documentation including design specifications, user guides, and system architecture diagrams. Experience with Graph QL subgraph integration for bridging frontend and backend systems. Experience with Kubernetes for container orchestration and service deployment. Experience with Azure Blob Storage and Cosmos DB. Experience in CI/CD using Jenkins for automated builds and deployments. Experience with monitoring and observability tools including Grafana, Prometheus, and MMS Monitoring. Experience in preparing test coverage for production-grade systems. Employer will accept any amount of professional experience with the required skills. ## Description Duties: Design, code, test, debug, and document backend software components and microservices to support large scale, distributed applications in alignment with system architecture and business requirements. Collaborate with cross-functional teams to understand requirements and translate them into functional software solutions. Contribute to all phases of the software development lifecycle, including requirements gathering, analysis, design, implementation, testing, deployment, and maintenance. Ensure adherence to coding standards, best practices, and quality guidelines. Design and implement efficient and scalable database solutions, maintain stored procedures, optimize database queries to improve performance and response times, identify bottlenecks, and ensure efficient data retrieval and manipulation. Continuously enhance the performance, scalability, and reliability of the systems. Identify areas for improvement and implement solutions to address system bottlenecks, inefficiencies, or customer pain points. Work closely with product managers, architects, designers, and other engineers to understand system requirements and translate them into technical solutions. Collaborate in an agile development environment, participate in sprint planning, and contribute to the team's overall success. Set up Kafka clusters, brokers, and topics. Monitor and maintain the health, availability, and performance of message queues. Investigate and debug software defects and production issues reported by internal teams or customers. Analyze log files, conduct root cause analysis, and implement appropriate fixes to ensure system stability and reliability. Collaborate with other engineering teams to integrate with various internal and external systems. Ensure smooth and seamless data flow across different systems. Document software designs, technical specifications, and development processes. Share knowledge and best practices with team members to foster a collaborative and learning-oriented environment. Evaluate and recommend new tools, technologies, and approaches to enhance system functionality and performance.